Durable, temperature resistant omniphobic and dustphobic coatings

This project will investigate how to develop a multifunctional surface coating which exhibits both dust and liquid repellencies for industries like wood mills where fire hazard is a major challenge caused due to the accumulation of liquid contaminants and dust particles. The U of T / Eclipson Technologies team will develop durable coatings possessing these properties along with high temperature resistance that could be readily applied on application of various substrates (metals, glass, ceramic). This involves developing surface coatings, characterizing them.

Delineation and phenology of the invasive box tree moth (BTM) in Toronto

The box tree moth (BTM) (Cydalima perspectalis) is an invasive insect pest from Asia that was confirmed to be present in Etobicoke, Ontario by the CFIA in November, 2018. This is the first known introduction of BTM to North America. BTM attacks boxwood (Buxus spp.), a popular broadleaf plant used in residential and commercial gardens, hedges and topiary in Canada. For the nursery sector, boxwood represents a very high value, slow-growing crop in Ontario, Quebec and BC.

Development of Advanced Deep Learning Algorithms for Computer Vision and CAV Applications

Deep learning is nowadays one of the most popular areas in computer science which has shown extraordinary performance and enjoyed wide use in a variety of fields. This research project is aiming at exploring the application of deep learning algorithms in two fields: autonomous driving with 5G networks, and facility maintenance with CT scanning. In the first field, a number of driving scenarios will be simulated and evaluated to understand the performance of deep learning-based algorithms, leveraging 5G to take advantage of quick data transfer and calculations.

Assessing forest harvesting impacts on furbearer habitat at the scale of Indigenous traplines - A case study in Indigenous consultation

The “Assessing forest harvesting impacts on furbearer habitat at the scale of Indigenous traplines - A case study in Indigenous consultation and forest conservation” project is planned to enhance the understanding of Indigenous rights holders concerning forest management activities that impact the distribution of forest types and ages upon which the forest dwelling wildlife that sustain traditional trapping and harvesting depend.

Large Data Visualization in Real Time

A successful computer application can easily have millions of users, but handling the network traffic generated by millions of users is not easy. The server system has to be well designed in order to properly process large, concurrent, and distributed data streams without affecting user experience. In addition, users do not generate data constantly, they often put a burst of load on the network instead. Therefore, the server system needs to be scalable as well.

Effects of plant mix, restoration year, and management regime of urban meadows on plant-pollinator network size, structure, and diversity

The purpose of this project is to identify bees and evaluate plant-pollinator networks based on the biomonitoring surveys conducted at the Meadoway in 2020-2021 with the Toronto and Region Conservation Authority (TRCA). The aim of these surveys is to develop a baseline understanding of bee diversity in The Meadoway and evaluate the effects of plant mix, restoration age, and management regime to improve TRCA best practices for future projects. The intern will conduct timed bee surveys at the Meadoway at sites 1-5 years post restoration and on specific flowers.

Improving Effective Collaboration Between Sponsorship Agreement Holders (SAHs), Constituent Groups (CGs) and Co-Sponsors in Canada’s Private Sponsorship of Refugees Program (PSR)

The proposed research seeks to learn more about the ways Sponsorship Agreement Holders (SAHs), collaborate with Constituent Groups (CGs) and Co-sponsors to sponsor refugees to resettle in Canada. For this project, the Canadian Unitarian Council (CUC), will be used as a case study. Given the limited capacity and resources that SAHs have available to them to do this humanitarian work, building effective systems of collaboration between all sponsors is important.

Data analytics in asset management of erosion control structures

The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline erosion, which in turn will help safe shoreline properties and community spaces from increased erosion. The accurate perdition of erosion will also enable TRCA to develop effective plans to protect natural habitat.

Efficacy of end-to-end digitizited eye movement therapy for trauma desensitization, on Savyn’s app for treating PTSD symptoms

One of ten Canadians will experience trauma at least once in their lives and will develop post-traumatic stress disorder (PTSD). Many people cannot access PTSD care because of the high cost, long-waiting time, stigma and other barriers etc. Amygdala (deep brain) is important to traumatic emotions and memories. One way to access these memories is to use bi-lateral eye movements. Eye Movement Desensitization & Reprocessing (EMDR) is a well-established treatment for PTSD.

Development of a specific targeted therapy for hepatocellular carcinoma

The global burden of hepatocellular carcinoma (HCC) is increasing as it has become the second leading cause of cancer-relateddeaths and the fifth most common cancer worldwide. HCC is heterogenous, arising in the setting of various chronic liver diseasessuch as hepatitis C, non-alcoholic fatty liver disease and cirrhosis. Patients with cirrhosis who develop cancer cannot tolerate therapydue to inadequate liver function.